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电力系统和通信网络交互影响下的连锁故障分析 被引量:59

Analysis of cascading failures under interactions between power grid and communication network
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摘要 传统的对于电力系统连锁故障的研究仅限制在电力网络,很少考虑电力网络和通信网络间的交互作用。以IEEE 118节点系统和新英格兰39节点系统为例,基于直流潮流模型建立了较为符合电力系统运行实际的电力网络和通信网络交互作用模型,通过调节相关参数研究了电力通信网络不同的路由策略对于电力系统连锁故障大停电的影响,并结合复杂网络的理论讨论了复杂网络之间的内在相似性。仿真结果表明通过调整通信网络参数设置恰当的路由策略,可以降低大规模连锁故障的概率。而且在不同电力系统下仿真发现,网络间最优相似策略是相同的,采用该相似策略可以有效地降低大规模连锁故障的概率。 The framework of integrated monitoring of hydroelectric generators based on CIA(Community Intelligence Agent) model is introduced,which is made up of the CIA system in control domain and the CIA system in maintenance domain.The CIA model contains the message processing layer,behavior control layer and core functional layer,and each CIA contacts with external module(such as other CIAs) through Request message or Report message.The interaction,collaboration,associated action and data sharing among all CIAs in maintenance domain are realized via the real-time field bus(such as CAN bus) or Ethernet.The state data of whole hydroelectric generators are divided into the sampled data,transient data,detailed data and summary data,for which the selectively intelligent storage is applied to improve the pertinence and validity of state analysis and fault diagnosis with less storage space.The real-time interaction,collaboration,associated action among CIAs in monitoring system and the state data fusion of hydroelectric generators are realized through the time fusion,operating condition fusion,abnormal event fusion and conflict resolution strategy,which effectively guarantees the relevance of operating states from different subsystems of hydroelectric generators.
出处 《电力自动化设备》 EI CSCD 北大核心 2013年第1期7-11,共5页 Electric Power Automation Equipment
基金 国家自然科学基金资助项目(51137003 50977022 60804045) 浙江省自然科学基金资助项目(Y1110229)~~
关键词 电力系统 通信网络 交互 连锁故障 复杂网络 内在相似性 故障分析 hydroelectric generators integration monitoring Community Intelligence intelligent control operating condition fusion time fusion abnormal event fusion
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参考文献9

  • 1WATTS D J. Small worlds:the dynamics of networks between order and randomness[M].Princeton,NJ,USA:Princeton University Press,1998.
  • 2于群,郭剑波.中国电网停电事故统计与自组织临界性特征[J].电力系统自动化,2006,30(2):16-21. 被引量:58
  • 3胡娟,李智欢,段献忠.电力调度数据网结构特性分析[J].中国电机工程学报,2009,29(4):53-59. 被引量:54
  • 4ROSATO V,ISSACHAROFF L,TIRITICCO F. Modelling interdependent infrastructures using interacting dynamical models[J].International Journal of Critical Infrastructures,2008,(04):63-79.
  • 5BULDYREV S V,PARSHANI R,PAUL G. Catastrophic cascade of failures in interdependent networks[J].Nature,2010,(464):1025-1028.
  • 6BARAB(A)SI A L,ALBERT R. Emergence of scaling in random networks[J].Science,1999,(5439):509-512.doi:10.1126/science.286.5439.509.
  • 7ALBERT R,JEONG H,BARAB(A)SI A L. Error and attack tolerance of complex networks[J].Nature,2000,(406):378-382.
  • 8PARSHANI R,ROZENBLAT C,IETRI D. Inter-similarity between coupled networks[J].Europhysics Letters,2010,(92):68002-68006.
  • 9ECHENIQUE P,GOMEZ-GARDENES J,MORENO Y. Improved routing strategies for internet traffic delivery[J].Physical Review E,2004,(70):1-4.

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